ASTM D5536-1994(2004) Standard Practice for Sampling Forest Trees for Determination of Clear Wood Properties《无节疤木材性能测定用林材树取样的标准规范》.pdf
《ASTM D5536-1994(2004) Standard Practice for Sampling Forest Trees for Determination of Clear Wood Properties《无节疤木材性能测定用林材树取样的标准规范》.pdf》由会员分享,可在线阅读,更多相关《ASTM D5536-1994(2004) Standard Practice for Sampling Forest Trees for Determination of Clear Wood Properties《无节疤木材性能测定用林材树取样的标准规范》.pdf(9页珍藏版)》请在麦多课文档分享上搜索。
1、Designation: D 5536 94 (Reapproved 2004)Standard Practice forSampling Forest Trees for Determination of Clear WoodProperties1This standard is issued under the fixed designation D 5536; the number immediately following the designation indicates the year oforiginal adoption or, in the case of revision
2、, the year of last revision. A number in parentheses indicates the year of last reapproval. Asuperscript epsilon (e) indicates an editorial change since the last revision or reapproval.INTRODUCTIONThe everyday use of wood for many different purposes creates a continual need for data on itsmechanical
3、 properties. Small clear specimen testing to characterize a species has historically beenemployed for such property determination, and related methods of test are outlined in Methods D 143.Because wood is a biological material, its mechanical properties are subject to considerable naturalvariation.
4、Thus, the results of tests to evaluate the mechanical properties of a species depend to a greatextent upon how the forest trees are sampled for test material. Ideally, if the results of mechanicalproperty evaluations are to be representative of the forest sampled, probability sampling of materialssu
5、ch as outlined in Practice E 105 must be used. However, true probability sampling of the forest treesfor determination of mechanical properties can be extremely complex and expensive because of thebroad geographic range and topographic conditions under which a tree species grows. In someinstances, d
6、irect probability sampling may be impractical, necessitating the need for alternativesampling procedures.2, 31. Scope1.1 This practice offers two alternative physical samplingprocedures: cruciform sampling and random sampling. Thechoice of procedure will depend upon the intended use for thetest resu
7、lts, the resources available for sampling and testing,and the availability of existing data on the mechanical proper-ties and specific gravity of the species of interest.1.2 A third procedure, double sampling, is included prima-rily by reference. This procedure applies the results of cruci-form or r
8、andom samples through correlation to improve orupdate property values.1.3 This standard does not purport to address all of thesafety concerns, if any, associated with its use. It is theresponsibility of the user of this standard to establish appro-priate safety and health practices and determine the
9、 applica-bility of regulatory limitations prior to use.2. Referenced Documents2.1 ASTM Standards:4D 143 Methods of Testing Small Clear Specimens of Tim-berD 2555 Method for Establishing Clear-Wood Strength Val-uesE 105 Practice for Probability Sampling of Materials3. Significance and Use3.1 This pra
10、ctice covers procedures of sampling for obtain-ing small clear wood specimens which, when tested in accor-dance with Methods D 143 and, in conjunction with full-sizeproduct tests, will provide mechanical properties for use inderiving design properties for lumbar, panels, poles, houselogs, and other
11、products.3.2 Data obtained by testing specimens sampled in accor-dance with these methods also provide information on theinfluence on mechanical properties of such factors as density,locality of growth, position in cross section, height in the tree,and moisture content.1This practice is under the ju
12、risdiction of ASTM Committee D07 on Wood andis the direct responsibility of Subcommittee D07.01 on Fundamental Test Methodsand Properties.Current edition approved May 15, 1994. Published July 1994.2Bendtsen, B. A.; Freese, Frank; Ethington, R. L., “A Forest Sampling Methodfor Wood Strength,” Forest
13、Products Journal, Vol 20, No. 11, 1970, pp. 3847.3Pearson, R. G., and Williams, E. J., “A Review of Methods for Sampling ofTimber,” Forest Products Journal, Vol 8, No. 9, 1958, pp. 263268.4For referenced ASTM standards, visit the ASTM website, www.astm.org, orcontact ASTM Customer Service at service
14、astm.org. For Annual Book of ASTMStandards volume information, refer to the standards Document Summary page onthe ASTM website.1Copyright ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.3.3 Cruciform sampling is of principal value when informa-
15、tion is desired on the influence on mechanical properties ofheight in the tree; of age or radial position in the tree; of rateof growth; the change from sapwood to heartwood; therelationships between mechanical properties and factors suchas specific gravity; and making general comparisons betweenspe
16、cies for purposes of rating or selecting species for specificend-use products. Cruciform sampling does not provide unbi-ased estimates of mean values, percentile or other descriptivestatistics, or a means of associating statistical confidence withestimates of descriptive statistics.3.4 Double sampli
17、ng is used when it is desired to improveor update existing estimates of mechanical property values thatare the basis for establishing allowable design stresses forstress-graded lumber, plywood, poles and piling, and otherwood products. The method involves predicting one propertyby carefully observin
18、g a well-correlated auxiliary property thatis presumably easier or cheaper to measure. A sample estimateof the auxiliary property is obtained with a high degree ofprecision by representatively sampling the population. Asmaller independent sample or a subsample of the large sampleis used to establish
19、 a relationship between the auxiliaryproperty and the property for which an estimate is desired. Asapplied to sampling a forest, double sampling has employedspecific gravity to predict mechanical properties. The double-sampling method provides unbiased estimates of mean me-chanical property values a
20、nd an approximation method forestimating percentile values. Statistical confidence may beassociated with the estimates of the means but not thepercentile values.3.5 Random sampling is used when probability estimates ofdescriptive statistics and property distributional characteristicsare desired as t
21、he basis for establishing allowable designstresses for lumber and other stress-rated products. It isapplicable when data for a species do not exist or when existingestimates are believed no longer applicable because of achanging forest character. Random sampling provides betterprobability estimates
22、than double sampling and is less expen-sive and quicker if sampling and testing must be completed toestablish mechanical property-specific gravity regressions forthe double-sampling method.4. Authentic Identification4.1 The material shall be from trees selected in the forest byone qualified to ident
23、ify the species and to select the trees.Where necessary, herbarium samples such as leaves, fruit,twigs, and bark shall be obtained to ensure positive identifica-tion.5. Cruciform SamplingPrimary Method5.1 The standard methods for preparing small clear speci-mens of timber, primary method, provide fo
24、r cutting the logsections (divided into and identified as bolts) systematicallyinto sticks of nominal 212 by 212 in. (63 by 63 mm) in crosssection, that are later surfaced to provide the test specimens 2by 2 in. (50 by 50 mm) in cross section, on which the systemis based. These methods have served a
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